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Development and feasibility study of a two-dimensional ultrasonic-measurement-integrated blood flow analysis system for hemodynamics in carotid arteries

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Abstract

Prevention and early detection of atherosclerosis are critical for protection against subsequent circulatory disease. In this study, an automated two-dimensional ultrasonic-measurement-integrated (2D-UMI) blood flow analysis system for clinical diagnosis was developed, and the feasibility of the system for hemodynamic analysis in a carotid artery was revealed. The system automatically generated a 2D computational domain based on ultrasound color Doppler imaging and performed a UMI simulation of blood flow field to visualize hemodynamics in the domain. In the UMI simulation, compensation of errors was applied by adding feedback signals proportional to the differences between Doppler velocities by measurement and computation while automatically estimating the cross-sectional average inflow velocity. The necessity of adjustment of the feedback gain was examined by analyzing blood flow in five carotid arteries: three healthy, one sclerosed, and one stenosed. The same feedback gain was generally applicable for the 2D-UMI simulation in all carotid arteries, depending on target variables. Thus, the present system was shown to be versatile in the sense that the parameter is patient independent. Moreover, the possibility of a new diagnostic method based on the hemodynamic information obtained by the 2D-UMI simulation, such as a waveform of the cross-sectional average inflow velocity and wall shear stress distributions, was suggested.

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References

  1. Filipovic N, Teng ZZ, Radovic M, Saveljic I, Fotiadis D, Parodi O (2013) Computer simulation of three-dimensional plaque formation and progression in the carotid artery. Med Biol Eng Comput 51:607–616

    Article  PubMed  Google Scholar 

  2. Ford MD, Xie YJ, Wasserman BA, Steinman DA (2008) Is flow in the common carotid artery fully developed? Physiol Meas 29:1335–1349

    Article  PubMed  Google Scholar 

  3. Funamoto K, Hayase T (2013) Reproduction of pressure field in ultrasonic-measurement-integrated simulation of blood flow. Int J Numer Methods Biomed Eng 29:726–740

    Article  Google Scholar 

  4. Funamoto K, Hayase T, Shirai A, Saijo Y, Yambe T (2005) Fundamental study of ultrasonic-measurement-integrated simulation of real blood flow in the aorta. Ann Biomed Eng 33:415–428

    Article  PubMed  Google Scholar 

  5. Funamoto K, Hayase T, Saijo Y, Yambe T (2006) Numerical study on variation of feedback methods in ultrasonic-measurement-integrated simulation of blood flow in the aneurysmal aorta. JSME Int J, Ser C 49:144–155

    Article  Google Scholar 

  6. Funamoto K, Hayase T, Saijo Y, Yambe T (2008) Numerical experiment for ultrasonic-measurement-integrated simulation of three-dimensional unsteady blood flow. Ann Biomed Eng 36:1383–1397

    Article  PubMed  Google Scholar 

  7. Funamoto K, Hayase T, Saijo Y, Yambe T (2009) Numerical experiment of transient and steady characteristics of ultrasonic-measurement-integrated simulation in three-dimensional blood flow analysis. Ann Biomed Eng 37:34–49

    Article  PubMed  Google Scholar 

  8. Funamoto K, Hayase T, Saijo Y, Yambe T (2011) Numerical analysis of effects of measurement errors on ultrasonic-measurement-integrated simulation. IEEE Trans Biomed Eng 58:653–663

    Article  PubMed  Google Scholar 

  9. Gelfand BD, Epstein FH, Blackman BR (2006) Spatial and spectral heterogeneity of time-varying shear stress profiles in the carotid bifurcation by phase-contrast MRI. J Magn Reson Imaging 24:1386–1392

    Article  PubMed  Google Scholar 

  10. Hayase T, Humphrey JAC, Greif R (1992) A consistently formulated QUICK scheme for fast and stable convergence using finite-volume iterative calculation procedures. J Comput Phys 98:108–118

    Article  Google Scholar 

  11. Hoi Y, Wasserman BA, Lakatta EG, Steinman DA (2010) Carotid bifurcation hemodynamics in older adults: effect of measured versus assumed flow waveform. J Biomech Eng 132:071006

    Article  PubMed  PubMed Central  Google Scholar 

  12. Kamenskiy AV, Dzenis YA, Mactaggart JN, Desyatova AS, Pipinos II (2011) In vivo three-dimensional blood velocity profile shapes in the human common, internal, and external carotid arteries. J Vasc Surg 54:1011–1020

    Article  PubMed  Google Scholar 

  13. Lee SW, Antiga L, Steinman DA (2009) Correlations among indicators of disturbed flow at the normal carotid bifurcation. J Biomech Eng 131:061013

    Article  PubMed  Google Scholar 

  14. Manbachi A, Hoi Y, Wasserman BA, Lakatta EG, Steinman DA (2011) On the shape of the common carotid artery with implications for blood velocity profiles. Physiol Meas 32:1885–1897

    Article  PubMed  PubMed Central  Google Scholar 

  15. Morbiducci U, Gallo D, Ponzini R, Massai D, Antiga L, Montevecchi FM, Redaelli A (2010) Quantitative analysis of bulk flow in image-based hemodynamic models of the carotid bifurcation: the influence of outflow conditions as test case. Ann Biomed Eng 38:3688–3705

    Article  PubMed  Google Scholar 

  16. Moyle KR, Antiga L, Steinman DA (2006) Inlet conditions for image-based CFD models of the carotid bifurcation: is it reasonable to assume fully developed flow? J Biomech Eng 128:371–379

    Article  PubMed  Google Scholar 

  17. Patankar SV (1980) Numerical heat transfer and fluid flow. Hemisphere Pub. Corp, Washington DC

    Google Scholar 

  18. Poepping TL, Rankin RN, Holdsworth DW (2010) Flow patterns in carotid bifurcation models using pulsed doppler ultrasound: effect of concentric vs. eccentric stenosis on turbulence and recirculation. Ultrasound Med Biol 36:1125–1134

    Article  PubMed  Google Scholar 

  19. Press WH, Flannery BP, Teukolsky SA, Vetterling WT (1986) Numerical recipes: the art of scientific computing. Cambridge University Press, Cambridge, pp 274–282

    Google Scholar 

  20. Reneman RS, Hoeks APG (2008) Wall shear stress as measured in vivo: consequences for the design of the arterial system. Med Biol Eng Comput 46:499–507

    Article  PubMed  PubMed Central  Google Scholar 

  21. Santhiyakumari N, Rajendran P, Madheswaran M, Suresh S (2011) Detection of the intima and media layer thickness of ultrasound common carotid artery image using efficient active contour segmentation technique. Med Biol Eng Comput 49:1299–1310

    Article  PubMed  CAS  Google Scholar 

  22. Schneider GE, Zedan M (1981) A modified strongly implicit procedure for the numerical solution of field problems. Numer Heat Transfer 4:1–19

    Article  Google Scholar 

  23. Steinman DA (2002) Image-based computational fluid dynamics modeling in realistic arterial geometries. Ann Biomed Eng 30:483–497

    Article  PubMed  Google Scholar 

  24. The Joint Committee of “The Japan Academy of Neurosonology” and “The Japan Society of Embolus Detection and Treatment” on Guideline for Neurosonology (2006) Carotid ultrasound examination. Neurosonology 19:49–69

    Article  Google Scholar 

  25. Tortoli P, Michelassi V, Bambi G, Guidi F, Righi D (2003) Interaction between secondary velocities, flow pulsation and vessel morphology in the common carotid artery. Ultrasound Med Biol 29:407–415

    Article  PubMed  Google Scholar 

  26. Wake AK, Oshinski JN, Tannenbaum AR, Giddens DP (2009) Choice of in vivo versus idealized velocity boundary conditions influences physiologically relevant flow patterns in a subject-specific simulation of flow in the human carotid bifurcation. J Biomech Eng 131:021013

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgments

Part of this study was supported by Grant-in-Aid for Scientific Research (B) (24360064). All computations were performed using the supercomputer system at the Advanced Fluid Information (AFI) Research Center, Institute of Fluid Science, Tohoku University.

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Correspondence to Kenichi Funamoto.

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Kato, T., Funamoto, K., Hayase, T. et al. Development and feasibility study of a two-dimensional ultrasonic-measurement-integrated blood flow analysis system for hemodynamics in carotid arteries. Med Biol Eng Comput 52, 933–943 (2014). https://doi.org/10.1007/s11517-014-1193-3

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  • DOI: https://doi.org/10.1007/s11517-014-1193-3

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